Product Overview

• Product Overview
• Key Concepts
  • Organizations
  • Accounts, User, and Warehouses
  • Object Storage
• Architecture and Services
  • Architecture Overview
  • Metadata Service Layer
  • Compute Service Layer
  • Storage Service Layer
  • Data Science and AI Services
• Architectural Principles
  • Rationale for Not Using Mirrors
  • High Availability and Data Protection
  • Performance and Cost Implications
• Highlighted Features
  • Elastic architecture with separation of storage and computing
  • Comprehensive security measures
  • Multi-source data and big data integration
  • Diverse analytical and computing capabilities
  • Containerized deployment
  • Product-level disaster recovery
• User Scenarios
  • Data warehousing
  • Big data/data lake integration and analyses
  • Real-time data analysis
  • Generative AI data application development
  • Data mining and machine learning
• Comparison with Apache Cloudberry
• Comparison with Greenplum
  • General features
  • Performance-related features
  • Security-related features